Whether in the automotive world or at the copier, predictive modeling is helping organizations boost their return on investment without incurring marketing expenses, augmenting staff rosters or changing product lines. In this rundown of three smaller sessions from IBM Insight at World of Watson
IBM Insight at World of Watson 2016 certainly has a lot to offer, and one good place to start is the conference bookstore. Take a look at this overview for surviving the challenge of finding the right title for your technology of choice.
IBM is joining educators from around the globe in their quest to unleash a new generation of data scientists on the world. During the IBM Insight at World of Watson 2016 conference, discover how data science initiatives and offerings are empowering up-and-coming data scientists everywhere.
Data analytics is no longer an either/or choice. With the integration of IBM SPSS Statistics and R, you can bring together the statistical analysis and data management capabilities that have helped so many data scientists gain insight after insight from their data.
Apache Spark, sometimes called the “analytics operating system,” is empowering organizations of all kinds through machine learning by helping them create unprecedented value from their data. Discover eight ways that Apache Spark’s machine learning capabilities are driving the modern business.
Attend IBM Insight at World of Watson 2016 to explore the ways in which predictive analytics is helping modern businesses gain and retain the competitive advantage in their industries. To learn more, review these highlights from a CrowdChat in which industry experts discussed the central role of
IBM Insight at World of Watson 2016, 24–27 October 2016, at Mandalay Bay in Las Vegas, Nevada, is the only place to be for people who work with data. Take a look at this list of top-ten reasons you wont’ want to miss out on one of the most intriguing and innovative events of the year.
When modern law enforcement agencies require the ability to do advanced analytics in an environment of mobility and collaboration, they are increasingly relying on cloud capabilities. Learn why in this discussion between Morgan Wright and experts from IBM and Microsoft.
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain an deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized
Create meaningful client connections. Unlock the potential in your data by analyzing data from many sources using sophisticated, prebuilt industry-designed analytical models; leveraging dynamic segmentation by analyzing client behavior; and predicting key client life and financial events to create
Has your business adopted a hybrid analytics architecture as part of its quest to compete? Listen as Martin Fleming, IBM’s chief analytics officer and chief economist, explains why doing data analytics on the cloud is creating opportunities for modern businesses, and be sure to take notes as he
Create meaningful client connections by unlocking the potential in your data when you do the following: • Analyze data from multiple sources using sophisticated, prebuilt industry-designed analytical models. • Leverage dynamic segmentation by analyzing client behavior. • Predict key client life
If you’re looking to make your business data-driven, then you already know the paramount importance of modernizing your data architecture and its response capabilities. Accordingly, in your search for the ideal approach to delivering analytics for decision making, have you considered data